Using complexity–entropy planes to detect Parkinson’s disease from short segments of haemodynamic signals

Joseluis Jara^*, Catalina Morales-Rojas, Juan Fernández-Muñoz, Victoria J. Haunton, Max Chacón

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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@article{0ff3bbee65ba46fb8ffa8a9a2576e41c,

title = "Using complexity–entropy planes to detect Parkinson{\textquoteright}s disease from short segments of haemodynamic signals",

author = "Joseluis Jara and Catalina Morales-Rojas and Juan Fern{\'a}ndez-Mu{\~n}oz and Haunton, \{Victoria J.\} and Max Chac{\'o}n",

year = "2021",

month = aug,

day = "1",

doi = "10.1088/1361-6579/ac13ce",

language = "English",

volume = "42",

pages = "084002--084002",

journal = "Physiological Measurement",

issn = "0967-3334",

publisher = "IOP Publishing Ltd.",

number = "8",

}

TY - JOUR

T1 - Using complexity–entropy planes to detect Parkinson’s disease from short segments of haemodynamic signals

AU - Jara, Joseluis

AU - Morales-Rojas, Catalina

AU - Fernández-Muñoz, Juan

AU - Haunton, Victoria J.

AU - Chacón, Max

PY - 2021/8/1

Y1 - 2021/8/1

U2 - 10.1088/1361-6579/ac13ce

DO - 10.1088/1361-6579/ac13ce

M3 - Article

SN - 0967-3334

VL - 42

SP - 84002

EP - 84002

JO - Physiological Measurement

JF - Physiological Measurement

IS - 8

ER -